ProtAlign: Contrastive learning paradigm for Sequence and structure alignment

ArXi:2603.06722v1 Announce Type: new Protein language models often take into consideration the alignment between a protein sequence and its textual description. However, they do not take structural information into consideration. Traditional methods treat sequence and structure separately, limiting the ability to exploit the alignment between the structure and protein sequence embeddings. In this paper, we